The electrification of transport is transforming not only how vehicles operate but how energy systems are managed. Modern EV ...
A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG signal decoding, while an innovative generative AI ...
AI and Machine Learning can predict transformer faults by analyzing dissolved gas data, thermal patterns, and vibration ...
Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for ...
A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural ...
Tech Xplore on MSN
Scalable memtransistor arrays show potential for energy-efficient artificial neural networks
Researchers at the National University of Singapore (NUS) have fabricated ultra-thin memtransistor arrays from ...
AI was the key that unlocked these brain “neighborhoods.” They could also light the way to curing disorders like Alzheimer’s.
Patel said this is because of Neuro’s fundamentally different architecture. He explained that it uses deterministic guided ...
Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback